Top Document: comp.ai.neural-nets FAQ, Part 4 of 7: Books, data, etc. Previous Document: Neural Network Associations? Next Document: How to benchmark learning methods? See reader questions & answers on this topic! - Help others by sharing your knowledge See also "Other NN links?" in Part 7 of the FAQ. 1. Machine Learning mailing list ++++++++++++++++++++++++++++++++ http://groups.yahoo.com/group/machine-learning/ The Machine Learning mailing list is an unmoderated mailing list intended for people in Computer Sciences, Statistics, Mathematics, and other areas or disciplines with interests in Machine Learning. Researchers, practitioners, and users of Machine Learning in academia, industry, and government are encouraged to join the list to discuss and exchange ideas regarding any aspect of Machine Learning, e.g., various learning algorithms, data pre-processing, variable selection mechanism, instance selection, and applications to real-world problems. You can post, read, and reply messages on the Web. Or you can choose to receive messages as individual emails, daily summaries, daily full-text digest, or read them on the Web only. 2. The Connectionists Mailing List +++++++++++++++++++++++++++++++++++ http://www.cnbc.cmu.edu/other/connectionists.html CONNECTIONISTS is a moderated mailing list for discussion of technical issues relating to neural computation, and dissemination of professional announcements such as calls for papers, book announcements, and electronic preprints. CONNECTIONISTS is focused on meeting the needs of active researchers in the field, not on answering questions from beginners. 3. Central Neural System Electronic Bulletin Board ++++++++++++++++++++++++++++++++++++++++++++++++++ URL: ftp://www.centralneuralsystem.com/pub/CNS/ Supported by: Wesley R. Elsberry 3027 Macaulay Street San Diego, CA 92106 Email: welsberr@inia.cls.org Alternative URL: http://www.cs.cmu.edu/afs/cs.cmu.edu/project/ai-repository/ai/areas/neural/cns/0.html Many MS-DOS PD and shareware simulations, source code, benchmarks, demonstration packages, information files; some Unix, Macintosh, Amiga related files. Also available are files on AI, AI Expert listings 1986-1991, fuzzy logic, genetic algorithms, artificial life, evolutionary biology, and many Project Gutenberg and Wiretap e-texts. 4. AI CD-ROM ++++++++++++ Network Cybernetics Corporation produces the "AI CD-ROM". It is an ISO-9660 format CD-ROM and contains a large assortment of software related to artificial intelligence, artificial life, virtual reality, and other topics. Programs for OS/2, MS-DOS, Macintosh, UNIX, and other operating systems are included. Research papers, tutorials, and other text files are included in ASCII, RTF, and other universal formats. The files have been collected from AI bulletin boards, Internet archive sites, University computer deptartments, and other government and civilian AI research organizations. Network Cybernetics Corporation intends to release annual revisions to the AI CD-ROM to keep it up to date with current developments in the field. The AI CD-ROM includes collections of files that address many specific AI/AL topics including Neural Networks (Source code and executables for many different platforms including Unix, DOS, and Macintosh. ANN development tools, example networks, sample data, tutorials. A complete collection of Neural Digest is included as well.) The AI CD-ROM may be ordered directly by check, money order, bank draft, or credit card from: Network Cybernetics Corporation; 4201 Wingren Road Suite 202; Irving, TX 75062-2763; Tel 214/650-2002; Fax 214/650-1929; The cost is $129 per disc + shipping ($5/disc domestic or $10/disc foreign) (See the comp.ai FAQ for further details) User Contributions:Comment about this article, ask questions, or add new information about this topic:Top Document: comp.ai.neural-nets FAQ, Part 4 of 7: Books, data, etc. Previous Document: Neural Network Associations? Next Document: How to benchmark learning methods? Part1 - Part2 - Part3 - Part4 - Part5 - Part6 - Part7 - Single Page [ Usenet FAQs | Web FAQs | Documents | RFC Index ] Send corrections/additions to the FAQ Maintainer: saswss@unx.sas.com (Warren Sarle)
Last Update March 27 2014 @ 02:11 PM
|
PDP++ is a neural-network simulation system written in C++, developed as an advanced version of the original PDP software from McClelland and Rumelhart's "Explorations in Parallel Distributed Processing Handbook" (1987). The software is designed for both novice users and researchers, providing flexibility and power in cognitive neuroscience studies. Featured in Randall C. O'Reilly and Yuko Munakata's "Computational Explorations in Cognitive Neuroscience" (2000), PDP++ supports a wide range of algorithms. These include feedforward and recurrent error backpropagation, with continuous and real-time models such as Almeida-Pineda. It also incorporates constraint satisfaction algorithms like Boltzmann Machines, Hopfield networks, and mean-field networks, as well as self-organizing learning algorithms, including Self-organizing Maps (SOM) and Hebbian learning. Additionally, it supports mixtures-of-experts models and the Leabra algorithm, which combines error-driven and Hebbian learning with k-Winners-Take-All inhibitory competition. PDP++ is a comprehensive tool for exploring neural network models in cognitive neuroscience.